Job Details

AIML - Research Scientist, AI Interpretability & Visualization

Pittsburgh, Pennsylvania, United States

Machine Learning and AI

Summary

Posted: Jul 23, 2025

Role Number: 200613809

We're looking for a Researcher to advance the state of the art in evaluation and development of modern machine learning models with a focus on real-world use of artificial intelligence. A successful candidate will use their expertise to develop interactive systems and strategies that make our AI systems more understandable, transparent, and safe.

For this role, you need a keen curiosity about rigorous evaluation, deep understanding of modern machine learning and AI technologies, strong prototyping and development skills, and the ability to communicate sophisticated algorithms and methods in an understandable way.

We are a close-knit team of deeply technical Research Scientists passionate about making machine learning more robust, faster, and easier. We often use data visualizations to help our partners across Apple understand large and complex datasets or evaluate models. You'll collaborate with highly innovative product teams across Apple, and see projects through to deployment on 1 billion Apple devices worldwide.

Join us in Pittsburgh, PA, Seattle, WA, or Boston, MA to design and build interactive systems that help Apple ship better AI experiences. We encourage applications from junior to senior-level candidates.

Description

As a member of this team, you will use your background in ML and HCI to:

• Define and implement research directions at the forefront of interpretable machine learning

• Design and implement new tools and visualizations to make designing, building, and deploying machine-learning based products faster and easier

• Investigate innovative machine learning, and artificial intelligence algorithms

• Contribute to a variety of projects around Apple, and transfer your ideas into solutions for some of the most ambitious technical problems in the next generation of Apple products

Minimum Qualifications

• PhD or MS in Computer Science, Machine Learning, or related field or equivalent experience

• Proficiency with modern AI technologies and building interactive data visualizations

• Experience shipping products that use machine learning or tools for machine learning interpretability

• Substantial contributions to research or practitioner communities, such as by publishing papers at top-conferences or contributing to open source projects

• Proven history of turning ideas into actionable tools, guidelines, or products

• Excellent verbal and written communication and presentation skills

Preferred Qualifications

• Strong web-development background

Apple is an equal opportunity employer that is committed to inclusion and diversity. We seek to promote equal opportunity for all applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, Veteran status, or other legally protected characteristics.Learn more about your EEO rights as an applicant (https://www.eeoc.gov/sites/default/files/2023-06/22-088_EEOC_KnowYourRights6.12ScreenRdr.pdf) .

Apple is an equal opportunity employer that is committed to inclusion and diversity. We seek to promote equal opportunity for all applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, Veteran status, or other legally protected characteristics.Learn more about your EEO rights as an applicant (https://www.eeoc.gov/sites/default/files/2023-06/22-088_EEOC_KnowYourRights6.12ScreenRdr.pdf) .

Apple will not discriminate or retaliate against applicants who inquire about, disclose, or discuss their compensation.

Apple participates in the E-Verify program in certain locations as required by law.Learn more about the E-Verify program (https://www.apple.com/jobs/pdf/EverifyPosterEnglish.pdf) .

Apple is committed to working with and providing reasonable accommodation to applicants with physical and mental disabilities. Reasonable Accommodation and Drug Free Workplace policy Learn more .

Apple is a drug-free workplace. Reasonable Accommodation and Drug Free Workplace policy Learn more .

Apple will consider for employment all qualified applicants with criminal histories in a manner consistent with applicable law. If you’re applying for a position in San Francisco, review the San Francisco Fair Chance Ordinance guidelines applicable in your area.

It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability.